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Related Experiment Videos

Improving the development of event-driven control systems in the batch processing industry. A case study.

A Sanchez1, G Rotstein, N Alsop

  • 1Centre for Process Systems Engineering, Imperial College, London, United Kingdom. arturo@gdl.cinvestav.mx

ISA Transactions
|August 6, 2002
PubMed
Summary
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Novel techniques for event-driven control systems in batch processing can reduce development errors by 75%. This academia-industry collaboration highlights improved efficiency and economic savings for pharmaceutical and chemical industries.

Area of Science:

  • Chemical Engineering
  • Control Systems Engineering
  • Computer Science

Background:

  • Batch processing industries (pharmaceutical, fine chemicals, food) require robust event-driven control systems.
  • Current development methods can be error-prone and costly.
  • Academia-industry collaboration is crucial for advancing industrial practices.

Purpose of the Study:

  • To test novel techniques for developing event-driven control systems in batch processing.
  • To evaluate the impact of formal synthesis and dynamic simulation on control system development.
  • To assess the engineering and economic benefits of proposed computer-aided engineering (CAE) practices.

Main Methods:

  • Formal synthesis of phase control logic and automatic code translation.

Related Experiment Videos

  • Verification of discrete-event control systems using dynamic simulation.
  • Development of a complete control system for a benchmark batch process plant.
  • Main Results:

    • A 75% reduction in development errors is achievable with the proposed CAE practices.
    • Estimated overall savings of 7% for green-field projects.
    • Shift in workload towards process engineers during specification and away from software engineers during coding.

    Conclusions:

    • The integration of formal synthesis and dynamic simulation offers significant improvements in control system development.
    • Structured CAE practices enhance efficiency and reduce errors in the batch processing industry.
    • The proposed techniques provide a viable path towards more reliable and cost-effective control system engineering.